Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aishwarya Rane"'
Autor:
Bhasker Dharavath, Ashwin Butle, Ankita Pal, Sanket Desai, Pawan Upadhyay, Aishwarya Rane, Risha Khandelwal, Sujith Manavalan, Rahul Thorat, Kavita Sonawane, Richa Vaish, Poonam Gera, Munita Bal, Anil K. D’Cruz, Sudhir Nair, Amit Dutt
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
MMP10, which is upregulated in 86% of primary tongue tumors with lymph node metastases, is negatively regulated by miR-944 and promotes nodal metastasis in an orthotopic tongue cancer mouse model through the AXL signaling pathway.
Externí odkaz:
https://doaj.org/article/8b679bba12d74b7cbe272b8156ba0657
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-9 (2021)
Abstract Background Rapid analysis of SARS-CoV-2 genomic data plays a crucial role in surveillance and adoption of measures in controlling spread of Covid-19. Fast, inclusive and adaptive methods are required for the heterogenous SARS-CoV-2 sequence
Externí odkaz:
https://doaj.org/article/d580fb5252d14c059640772df91a6d46
Benefits of Early Detection of Alzheimer’s Disease—A Machine Learning with Image Processing Approach
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:378-383
Nervous system, being the most critical part of the human body has attracted many neuro-surgeons to diagnose the neurological diseases which are of primary concern. It’s been a challenge since many years. The recent report of the World Health Organ
Autor:
Sanket Desai, Bhasker Dharavath, Sujith Manavalan, Aishwarya Rane, Archana Kumari Redhu, Roma Sunder, Ashwin Butle, Rohit Mishra, Asim Joshi, Trupti Togar, Shruti Apte, Pratyusha Bala, Pratik Chandrani, Supriya Chopra, Murali Dharan Bashyam, Anirban Banerjee, Kumar Prabhash, Sudhir Nair, Amit Dutt
Publikováno v:
NAR Cancer. 4
Persistent pathogen infection is a known cause of malignancy, although with sparse systematic evaluation across tumor types. We present a comprehensive landscape of 1060 infectious pathogens across 239 whole exomes and 1168 transcriptomes of breast,
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-9 (2021)
Background Rapid analysis of SARS-CoV-2 genomic data plays a crucial role in surveillance and adoption of measures in controlling spread of Covid-19. Fast, inclusive and adaptive methods are required for the heterogenous SARS-CoV-2 sequence data gene
We present an updated version of our automated computational pipeline, Infection Pathogen Detector IPD 2.0 with a SARS-CoV-2 module, to perform genomic analysis to understand the pathogenesis and virulence of the virus. Analysing the currently availa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::308b09b175da64f9b755b972d50681fe
https://doi.org/10.1101/2021.01.21.427574
https://doi.org/10.1101/2021.01.21.427574